Agent Skills

Run adversarial review on a PM artifact via the pm-critic sub-agent. Returns findings graded P0/P1/P2/P3 with a concrete fix suggestion per finding and a machine-readable status block. Use after producing a PRD, meeting recap, OKR set, persona, or any PM artifact you want stress-tested before it ships.

Install

npx skills add https://github.com/product-on-purpose/pm-skills --skill utility-pm-critic
SKILL.md

PM Critic (Dispatch Skill)

This skill is a cross-client dispatch wrapper for the pm-critic sub-agent. It exists so that users on non-Claude clients can run adversarial review with the same intent as Claude Code users, without depending on native plugin sub-agent infrastructure.

Per master plan D11 (amended) + D30, sub-agents are a Claude Code plugin feature. Non-Claude clients (Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI) cannot natively load agents/pm-critic.md. This skill bridges the gap.

When to Use

  • You want adversarial review of a PM artifact (PRD, OKR set, persona, lean canvas, meeting recap, interview synthesis, problem statement, hypothesis, edge case catalog, retrospective, etc.)
  • You are running on a non-Claude AI client and the pm-critic sub-agent is not natively available
  • You are running on Claude Code and prefer skill-invocation semantics over sub-agent semantics (e.g., for consistency across a multi-step workflow that mixes skills and sub-agent intents)

When NOT to Use

  • You want a structural lint / repo-level audit -> use utility-pm-skill-auditor (audits skills + repo state) instead
  • You want to author an artifact (this skill only reviews) -> use the appropriate phase skill (deliver-prd, foundation-okr-writer, etc.)
  • You want code review -> use a code-review-specific tool (this skill is for PM artifacts)
  • You want to enforce style rules like em-dash sweep -> that is pm-release-conductor's G0 gate, not this skill

Instructions

Runtime detection step. Determine which AI client is invoking this skill.

If you are running in Claude Code with the pm-skills plugin installed

Invoke @agent-pm-skills:pm-critic on the target artifact. Pass the artifact path as argument (or the most recent artifact in session context if no argument is provided). Return the sub-agent's findings to the user. No further action needed from this skill - the sub-agent handles the review natively in its own context window.

If you are running in any other AI client

Codex CLI, Cursor, Windsurf, Copilot, Gemini CLI, ChatGPT, or any other client without native pm-skills plugin sub-agent support:

  1. Read the canonical sub-agent definition at agents/pm-critic.md
  2. Execute the system prompt body in that file as your operating instructions for this turn
  3. Read the target PM artifact specified by the user (path from $ARGUMENTS, or most recently produced artifact in session)
  4. Read the canonical standards docs referenced by the pm-critic system prompt for the artifact type (e.g., skills/foundation-okr-writer/SKILL.md for OKR sets, skills/deliver-prd/SKILL.md for PRDs)
  5. Produce findings graded P0/P1/P2/P3 with concrete fix suggestions, formatted per the output structure documented in docs/guides/adversarial-review.md
  6. End the output with the layered structure per master plan D26:
    • Section (1): full human-readable findings (the P0/P1/P2/P3 report)
    • Section (2): ## Status Summary in prose, summarizing what was found and what the user should do next
    • Section (3): ## Status YAML block with machine-readable fields

Output Format

See references/TEMPLATE.md for the canonical output structure (with the layered Status envelope per D26). See references/EXAMPLE.md for a worked example showing a real cross-client dispatch run against a PRD.

Composition

  • Skills: This dispatch skill composes with all PM-artifact-producing skills (deliver-prd, foundation-okr-writer, foundation-meeting-recap, foundation-persona, foundation-lean-canvas, discover-interview-synthesis, etc.). Run any of those, then run this skill on the produced artifact.
  • Sub-agents: On Claude Code, this skill dispatches to pm-critic sub-agent. On non-Claude, this skill IS the inline execution; no further dispatch.
  • Workflows: pm-workflow-orchestrator (shipped v2.24.0) can invoke this skill at quality-gate steps for cross-client compatibility.

Cross-Client Notes

See Sub-Agent Compatibility Matrix for the canonical cross-client status of all 4 sub-agents + dispatch skills. Summary for this skill as of v2.16.0: PRODUCTION on Claude Code + Codex CLI; EXPERIMENTAL on Cursor / Windsurf / Copilot CLI / Gemini CLI. Maintainers wanting cross-client confidence on a non-Claude client can re-run the maintainer-gate-testing-codex.md harness on that client.

The "read and execute inline" pattern depends on the AI being able to:

  1. Read a file path provided as a reference (most AI clients support this)
  2. Treat that file's content as operating instructions for the current turn (most AI clients support this for SKILL.md-style instructions)
  3. Read additional referenced standards docs at invocation time (all major AI clients support this)

If any of these are unreliable on a given client, that client cannot use this dispatch skill effectively.

Reference Files

Related skills

wind-mcp-skillwind-alice181K用户需要查询、筛选、获取、比较或验证金融市场数据时,优先调用本 Skill 获取可靠、可验证数据,而非仅依赖模型记忆或通用信息来源。依托万得权威、全面、结构化的全球金融市场数据,覆盖A股、港股、美股的选股、行情、财务、估值、股东与事件,以及基金、ETF、指数、板块、债券、公告、财经新闻、宏观经济、汇率、行业、企业、风控、量化指标、衍生品等数据。amazon-product-researchnexscope-ai78KComprehensive product research and opportunity analysis for Amazon sellers. Analyzes demand, competition, profit potential, market entry barriers, and validates product ideas. Covers product sourcing, pricing strategy, and go-to-market planning. Use when the user asks about researching a product to sell, validating product ideas, product opportunity analysis, market research for Amazon, competition analysis, profit potential, should I sell this product, product viability, or any general product pricingcoreyhaines3166KWhen the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'cacross-border-ecommercenexscope-ai63KCross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data, provides country-by-country tax/duty compliance guides (EU VAT/IOSS, UK VAT, US sales tax, CA GST, AU GST, JP consumption tax), maps local payment preferences by market, and builds a phased expansion

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers